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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
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地理科学与资源研究... [41]
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Comprehensively assessing priority odorants emitted from swine slurry combining nontarget screening with olfactory threshold prediction
期刊论文
OAI收割
SCIENCE OF THE TOTAL ENVIRONMENT, 2024, 卷号: 917, 页码: 170428
作者:
Cheng, Yuan
;
Chen, Tongbin
;
Zheng, Guodi
;
Yang, Junxing
;
Yu, Bao
  |  
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2024/04/08
Priority pollutants
Volatile organic compounds
Odor
Structure-odor relationship
Machine learning
A practical two-step framework for all-sky land surface temperature estimation
期刊论文
OAI收割
REMOTE SENSING OF ENVIRONMENT, 2024, 卷号: 303, 页码: 22
作者:
Zhang, Huanyu
;
Tang, Bo-Hui
;
Li, Zhao-Liang
  |  
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2024/04/01
All -sky land surface temperature (LST)
Hypothetical clear -sky LST
Surface energy balance
Cloud radiative forcing effect
Cloudy -sky conditions
Earlier spring greening in Northern Hemisphere terrestrial biomes enhanced net ecosystem productivity in summer
期刊论文
OAI收割
COMMUNICATIONS EARTH & ENVIRONMENT, 2024, 卷号: 5, 期号: 1, 页码: 122
作者:
Ren, Yijia
;
Qiu, Jianxiu
;
Zeng, Zhenzhong
;
Liu, Xiaoping
;
Sitch, Stephen
  |  
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2024/04/08
Hotspot mapping and risk prediction of fluoride in natural waters across the Tibetan Plateau
期刊论文
OAI收割
JOURNAL OF HAZARDOUS MATERIALS, 2024, 卷号: 465, 页码: 12
作者:
Yang, Yi
;
Zhang, Ru
;
Deji, Yangzong
;
Li, Yonghua
  |  
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2024/04/01
Fluoride
Machine learning
Natural waters
Prediction
The Tibetan Plateau
Modeling transpiration using solar-induced chlorophyll fluorescence and photochemical reflectance index synergistically in a closed-canopy winter wheat ecosystem
期刊论文
OAI收割
REMOTE SENSING OF ENVIRONMENT, 2024, 卷号: 302, 页码: 20
作者:
Zheng, Chen
;
Wang, Shaoqiang
;
Chen, Jing M.
;
Xiao, Jingfeng
;
Chen, Jinghua
  |  
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2024/03/04
Transpiration
Photochemical reflectance index
Sun-induced chlorophyll fluorescence
Non-photochemical quenching
Hybrid model
SCOPE model
Spatial distribution and source identification of potentially toxic elements in Yellow River Delta soils, China: An interpretable machine-learning approach
期刊论文
OAI收割
SCIENCE OF THE TOTAL ENVIRONMENT, 2024, 卷号: 912, 页码: 169092
作者:
Zhou, Mengge
;
Li, Yonghua
  |  
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2024/01/26
Random forest
Source apportionment
Shapley additive explanations
t -Distributed random neighbor embedding
Heavy metals
Utilizing machine learning algorithm for finely three-dimensional delineation of soil-groundwater contamination in a typical industrial park, North China: Importance of multisource auxiliary data
期刊论文
OAI收割
SCIENCE OF THE TOTAL ENVIRONMENT, 2024, 卷号: 911, 页码: 168598
作者:
Liu, Siyan
;
Yang, Xiao
;
Shi, Biling
;
Liu, Zhaoshu
;
Yan, Xiulan
  |  
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2024/01/04
Industrial site contamination
Three-dimensional spatial analysis
Hydrogeological features
Integrated modeling
Back propagation neural network algorithm
Individual Tree-Level Monitoring of Pest Infestation Combining Airborne Thermal Imagery and Light Detection and Ranging
期刊论文
OAI收割
FORESTS, 2024, 卷号: 15, 期号: 1, 页码: 16
作者:
Wang, Jingxu
;
Lin, Qinan
;
Meng, Shengwang
;
Huang, Huaguo
;
Liu, Yangyang
  |  
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2024/03/01
pine shoot beetle
shoot damage ratio
canopy temperature
thermal infrared imagery
LiDAR
Practical Exploration of Eco-Geological Survey Mapping in Qinghai-Tibet Plateau: Framework, Standard and Preliminary Cost Estimation
期刊论文
OAI收割
SUSTAINABILITY, 2024, 卷号: 16, 期号: 1, 页码: 176
作者:
Luo, Gan
;
Tao, Mingqi
;
Zhong, Shuai
;
Xiao, Chunlei
  |  
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2024/02/05
preliminary cost estimation
eco-geological survey
Qinghai-Tibet Plateau
Soil carbon sequestration potential of cultivated lands and its controlling factors in China
期刊论文
OAI收割
SCIENCE OF THE TOTAL ENVIRONMENT, 2023, 卷号: 905, 页码: 11
作者:
Wang, Shuai
;
Xu, Li
;
Adhikari, Kabindra
;
He, Nianpeng
  |  
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2023/11/29
Carbon sequestration
Machine learning
Cultivated lands
Environmental variable
Spatial variation
Anthropogenic factors